JP2014228971A - Content retrieval result providing device and content retrieval result providing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a content retrieval result providing device and content retrieval result providing method capable of providing content retrieval results according to a situation in which retrieval is performed.SOLUTION: An information distribution server 200 comprises: a related content acquisition unit 205 and a query retrieval result acquisition unit 206 for acquiring a plurality of content retrieval results against retrieval queries; a query evaluation unit 208 and a user information acquisition unit 207 for specifying a situation in which retrieval has been performed; a content evaluation unit 209 for deriving a content evaluation value on the basis of the selection tendency of each content included in the content retrieval results in each prescribed situation and the situation in which the retrieval has been performed; a retrieval result determination unit 210 for determining the content retrieval results on the basis of the content evaluation value derived by the content evaluation unit 209; and a content retrieval result output unit 211 for outputting the content retrieval results determined by the retrieval result determination unit 210.

Description

  The present invention relates to a content search result providing apparatus and a content search result providing method.

  2. Description of the Related Art Conventionally, a technique for providing content that a user thinks is desired based on information on content that the user has used in the past is known. For example, in the technique described in Patent Document 1, the feature level for each item is derived based on the meta information in the user history information, and the content to be recommended is acquired from the value of the feature level for each item. ing.

JP 2004-362011 A

  By the way, even if it is the same user, the content which a user desires changes greatly with time and the place where a user is located (namely, the condition where search was performed). For this reason, the content provided to the user is preferably set according to the situation in which the search is performed. However, Patent Document 1 does not fully consider the situation in which such a search is performed. Accordingly, it is not possible to provide content according to the situation in which the search is performed.

  The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a content search result providing apparatus and a content search result providing method capable of providing a content search result according to a situation in which a search is performed.

  The content search result providing apparatus according to the present invention is acquired by a search result acquiring unit that acquires a plurality of content search results for a search query, a search situation specifying unit that specifies a situation in which a search is performed, and a search result acquiring unit. Content evaluation means for deriving a content evaluation value based on a selection tendency of each content included in the content search result for each predetermined situation and a situation where the search specified by the search situation specifying means is performed, and content evaluation A search result determining means for determining a content search result based on the content evaluation value derived by the means; and an output means for outputting the content search result determined by the search result determining means.

  Further, the content search result providing method according to the present invention includes a search result acquisition step for acquiring a plurality of content search results for a search query, a search status specifying step for specifying a situation where the search has been performed, and a search result acquisition step. A content evaluation step for deriving a content evaluation value based on a selection tendency of each content included in the acquired content search result for each predetermined situation and a situation where the search specified in the search situation specifying step is performed; A search result determination step for determining a content search result based on the content evaluation value derived in the content evaluation step; and an output step for outputting the content search result determined in the search result determination step.

  According to such a content search result providing apparatus and content search result providing method, the content search result is determined based on the selection tendency of each content for each predetermined situation and the situation in which the search is performed. Thereby, the content according to the situation where the search was performed can be provided to the user.

  In the content search result providing device according to the present invention, the search status specifying means specifies the search status by specifying search time information, which is information indicating the status related to time, and the content evaluation means The content evaluation value may be derived using the time zone as a predetermined situation. According to the present invention, since the content evaluation value is derived based on the selection tendency of the content for each predetermined time zone and the search time information indicating the situation related to the time, the time zone desired by the user (search It is possible to provide content that is selected a lot in a time zone that matches the situation where

  Further, in the content search result providing apparatus according to the present invention, the search situation specifying means derives a time zone query evaluation value that is an evaluation value of a search query by time zone based on a search tendency by time zone of the search query. Thus, the search time information may be specified. According to the present invention, the search time information is identified from the time zone query evaluation value, which is the evaluation value of the search query by time zone, so the search query searched by the user is often selected during the time when the search query is frequently searched. The content evaluation value of the content that has been added can be increased.

  In the content search result providing apparatus according to the present invention, the search status specifying means may specify the time at the time of search as search time information. According to the present invention, it is possible to increase the content evaluation value of content that is frequently selected in a time zone including the time at the time of search.

  Further, in the content search result providing apparatus according to the present invention, the search situation specifying unit specifies the situation where the search is performed by specifying the search place information which is information indicating the situation regarding the place, and the content evaluation unit includes: The content evaluation value may be derived using the predetermined location as the predetermined situation. According to the present invention, since the content evaluation value is derived based on the selection tendency of the content for each predetermined place and the search place information indicating the situation regarding the place, the place desired by the user (search is performed). It is possible to provide content that has been selected a lot in places that match the situation.

  Further, in the content search result providing apparatus according to the present invention, the search status specifying means may specify the search location information by acquiring the position information of the user at the time of the search. According to the present invention, it is possible to increase the content evaluation value of content that is frequently selected at a location where the user is located at the time of search.

  In the content search result providing apparatus according to the present invention, the content evaluation unit calculates the content evaluation value based on the content corresponding to the search query and the content included in the user's content history information acquired by the search result acquisition unit. It may be derived. According to the present invention, it is possible to provide content that takes into consideration the situation in which a search is performed and the user's preference.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to provide the content search result according to the condition where search was performed.

It is an information system block diagram of this embodiment. It is a block diagram which shows the function of the information delivery server 200 of this embodiment. 2 is a hardware configuration diagram of an information distribution server 200. FIG. It is a figure which shows the data structure of content historical information. It is a figure which shows the data structure of the information which the content metadata storage part 202 manages. It is a table | surface which shows the query evaluation value classified by time slot | zone derived | led-out by the query evaluation part 208. FIG. It is a table | surface which shows the content from which the content evaluation value based on the content evaluation value according to time slot | zone was derived | led-out by the content evaluation part 209. FIG. It is a table | surface which shows the content from which the content evaluation value based on the content evaluation value according to place was derived | led-out by the content evaluation part 209. FIG. It is a block diagram which shows the function of the recommendation server 300 of this embodiment. It is a block diagram which shows the function of the search server 400 of this embodiment. It is a block diagram which shows the function of the user terminal 100 of this embodiment. It is a sequence diagram of this embodiment. It is a flowchart of the detailed process of content history evaluation value derivation. It is a flowchart of the detailed process of content evaluation value derivation.

  Embodiments according to the present invention will be described below with reference to the drawings. Where possible, the same parts are denoted by the same reference numerals, and redundant description is omitted.

(Configuration of information processing system)
As shown in FIG. 1, the information processing system holds an information distribution server 200 (content search result providing device), a recommendation server 300, a search server 400, a search log DB 500 that holds a search log, and a content selection log. It consists of a selection log DB 600. A user terminal 100 such as a mobile phone is connected to the information distribution server 200 via a network.

  When the information distribution server 200 receives the search query from the user terminal 100 and accepts the search request, the information distribution server 200 uses the information on the content selected from the search result based on the past search query and relates to the search query. The content having the characteristic is determined, and the content related to the content and the content corresponding to the search query are provided to the user terminal 100. Note that the selection here means selection for a predetermined selection means (link, button, etc.), not only selection that means browsing (for example, link selection of content detailed information, etc.) but also the purpose of purchase. (For example, link selection for content purchase). Here, the content includes not only the content content but also content identification information.

  FIG. 2 is a block diagram showing a functional configuration of the information distribution server 200 of the present embodiment. As shown in FIG. 2, the information distribution server 200 includes a content history information storage unit 201, a content metadata storage unit 202, a search request reception unit 203, a recommendation acquisition target content determination unit 204, a related content acquisition unit 205 (search results) Acquisition unit), query search result acquisition unit 206 (search result acquisition unit), user information acquisition unit 207 (search status identification unit), query evaluation unit 208 (search status identification unit), content evaluation unit 209 (content evaluation unit), A search result determination unit 210 (search result determination unit) and a content search result output unit 211 (output unit) are included.

  FIG. 3 is a hardware configuration diagram of the information distribution server 200. As shown in FIG. 3, the information distribution server 200 shown in FIG. 1 physically includes one or more CPUs 11, a RAM 12 and a ROM 13 as main storage devices, and an input device 14 such as a keyboard and a mouse as input devices. The computer system includes an output device 15 such as a display, a communication module 16 that is a data transmission / reception device such as a network card, an auxiliary storage device 17 such as a semiconductor memory, and the like. Each function in FIG. 2 has one or a plurality of predetermined computer software loaded on the hardware such as the CPU 11 and the RAM 12 shown in FIG. 3 to control the input device 14, the output device 15, and the communication under the control of the CPU 11. This is realized by operating the module 16 and reading and writing data in the RAM 12 and the auxiliary storage device 17. Hereinafter, each functional block will be described based on the functional blocks shown in FIG.

  The content history information storage unit 201 is a database that stores content history information that is information in which past search queries are associated with content selected from search results based on the past search queries.

  FIG. 4 is an explanatory diagram showing the contents stored in the content history information. As shown in FIG. 4, the content history information includes a user ID, a search query, a selected content ID, and a date and time at the time of selection.

  In FIG. 4, for example, the user terminal 100 with the user ID “User1” makes a search request with the search query “drink”, and juice A (orange) (500 ml × 24 bottles) is obtained from the search result as of January 10, 2013. Indicates that the day has been selected.

  The content metadata storage unit 202 is a database that stores information (content metadata) that associates content with metadata of the content.

  FIG. 5 is an explanatory diagram showing the contents stored in the content metadata. As shown in FIG. 5, the content metadata includes a content ID and metadata. Here, the metadata means data search information (for example, content attribute information).

  In FIG. 5, for example, the metadata of the content ID “juice A (orange) (with 500 ml × 24 bottles)” is “product design that is nice for soft drinks / soft drinks, drinks / soft drinks, carbonic acid, and body”. Show.

  The search request receiving unit 203 acquires a user ID and a search query from the user terminal 100 and receives a content search request.

  The recommendation acquisition target content determination unit 204 determines the recommendation acquisition target content that is the content to be recommended acquisition based on the search query at the time of the search request and the content history information stored in the content history information storage unit 201. To do.

  Specifically, the recommendation acquisition target content determination unit 204 refers to the content history information and determines the content corresponding to the search query at the time of the search request as the recommendation acquisition target content. Further, the recommendation acquisition target content determination unit 204, when there is no past search query corresponding to the search query at the time of the search request (that is, when there is no content corresponding to the search query at the time of the search request), Among the contents, a recommendation acquisition target content is determined based on a search query and metadata at the time of a search request. Then, if there is no metadata based on the search query at the time of the search request among the contents of the content history information, the recommendation acquisition target content determination unit 204 determines the content of the latest content history information as the recommendation acquisition target content. The past search query corresponding to the search query at the time of the search request includes not only a past search query that completely matches the search query at the time of the search request but also a past search query that partially matches.

  The related content acquisition unit 205 notifies the recommendation server 300 of the recommendation acquisition target content determined by the recommendation acquisition target content determination unit 204, makes a related content acquisition request, and obtains the related content from the recommendation server 300 as a first search result. Get as. Here, the related content refers to content similar to the recommendation acquisition target content (for example, content having common metadata).

  The query search result acquisition unit 206 notifies the search server 400 of the search query and acquires the content corresponding to the search query from the search server 400 as the second search result.

  The user information acquisition unit 207 acquires the time (current time) at which the user performed the search by acquiring the time at which the search query is received from the user terminal 100, and the current time is searched for time. This is a search situation specifying means for specifying the situation. In addition, the user information acquisition unit 207 acquires the position information from the user terminal 100 that transmitted the search query, thereby acquiring the position of the user terminal 100 (the current position of the user) at the time when the user performed the search, This is search condition specifying means for specifying a position as a search condition related to a place. In addition, acquisition of position information acquires the position information which the user terminal 100 acquired by the base station positioning measured using the reception condition of the radio wave transmitted from the base station, the GPS positioning using GPS, or the like. Is done.

  The query evaluation unit 208 estimates a user-desired time zone estimated from the search query based on a search query by time zone (number of searches by time zone) of the search query, and relates the user-desired time zone to time. This is a search situation specifying means for specifying the search situation. That is, the search situation related to time is specified based on the time zone in which the search query searched by the user is frequently searched, not the actual time (current time). Thereby, for example, if the search query is frequently searched at night, the search situation is identified as night. As for the user-desired time zone, one time zone is not specified, but a weighted time zone according to the degree desired by the user is specified as a time-related search situation.

  Specifically, the query evaluation unit 208 derives a time zone query evaluation value that is an evaluation value of the time zone search query based on the search time zone search tendency of the search query. The evaluation value of each time zone (weight of each time zone) indicated by the query evaluation value for each time zone indicates the degree to which each time zone is a user-desired time zone. Thus, by deriving the query evaluation value for each time zone, the search situation based on the user-desired time zone is specified.

  The number of search queries by time zone is the sum of the search results of all users stored in the search log DB 500 that can communicate with the information distribution server 200, and the query evaluation unit 208 Each time a query evaluation value for each time zone is derived, the number of searches for each time zone of the search query is acquired by communicating with the search log DB 500. The number of searches for each time zone of the search query held in the search log DB 500 may be updated in real time when the number of searches changes, or is updated at a predetermined cycle, for example, once a day. May be. The search log DB 500 may simply hold a search result log.

  The content evaluation unit 209 derives the content evaluation value of the related content acquired by the related content acquisition unit 205 and the content (content search result) acquired by the query search result acquisition unit 206. The content evaluation value is derived by the content evaluation unit 209 based on the content history evaluation value and the situation-specific content evaluation value. The derivation of the content history evaluation value will be described later, and the derivation of the situation-specific content evaluation value will be described in detail below.

  The content evaluation unit 209 determines, for each content included in the content search result, according to a situation based on a selection tendency of each content for each predetermined situation and a situation where the user has performed a search (hereinafter referred to as a search situation). A content evaluation value is derived. Here, the predetermined situation refers to various environments when content is selected, for example, a predetermined time zone or a predetermined place. The selection tendency is derived from the number of selected contents (number of clicks), and the selected number of contents is the total number of selected users of all user terminals 100 communicating with the information distribution server 200. is there.

  The content evaluation unit 209 derives a selection tendency of each content for each predetermined time zone based on the number of content selections for each predetermined time zone when the predetermined time zone is set to the above-described predetermined situation. The selection tendency for each predetermined time zone is indicated by a time zone content evaluation value. The width of the time zone is, for example, 6 hours or 4 hours, and the width of each time zone is the same. In other words, when the time zone width is 6 hours, 24 hours every 6 hours, from 0:00 to 6:00, from 6:00 to 12:00, from 12:00 to 18:00, from 18:00 to 24:00 (0:00) Are divided into four time zones.

  The number of content selections for each time zone is the sum of the selection numbers of all users stored in the selection log DB 600 that can communicate with the information distribution server 200. The content evaluation unit 209 displays the content evaluation value for each time zone. Each time it is derived, it communicates with the selection log DB 600 to obtain the number of content selections for each time zone in each content. The number of content selections for each time period held in the selection log DB 600 may be updated in real time when the content selection number fluctuates, or may be updated at a predetermined cycle, for example, once a day. Also good. The selection log DB 600 may simply hold a content selection log.

  Specifically, the content evaluation value for each time zone is derived by the content evaluation unit 209 by dividing the number of content selections for each time zone by the total number of content selections for all time zones. Therefore, the time-based content evaluation value for each time zone is indicated by the ratio of the number of content selections for each time zone to the total content selection count for all time zones.

  In addition, when the predetermined place is set to the predetermined situation described above, the content evaluation unit 209 derives the selection tendency of each content for each predetermined place based on the number of selected contents for each predetermined place. For example, if the predetermined location is Yokohama City, the selected number of contents at the predetermined location is the number selected in Yokohama City. The selection tendency for each predetermined place is indicated by the content evaluation value for each place. The range of the place is, for example, a municipality.

  The content selection number for each place is the sum of the selection numbers of all users stored in the selection log DB 600 that can communicate with the information distribution server 200, and the content evaluation unit 209 derives the content evaluation value for each location. Every time, by communicating with the selection log DB 600, the number of content selections for each location in each content is acquired. The content selection number for each location held in the selection log DB 600 may be updated in real time when the content selection number fluctuates, or may be updated at a predetermined cycle, for example, once a day. Good. The selection log DB 600 may simply hold a content selection log.

  Specifically, the content evaluation unit 209 derives the location-specific content evaluation value by dividing the content selection number of each location by the total content selection number of all locations. Therefore, the location-specific content evaluation value at each location is indicated by the ratio of the number of content selections at each location to the total content selection count at all locations.

  As described above, the content evaluation unit 209 determines the content-specific evaluation value for each content based on the selection tendency (the content evaluation value for each time zone or the content evaluation value for each location) for each predetermined situation and the search situation. Is derived. The search status relates to time or place, for example. Search time information, which is information indicating a search situation related to time, includes information based on the current time and information based on a user desired time zone estimated from a search query. Further, there is information based on a user's current position as search place information that is information indicating a search situation regarding a place. The search situation based on the current time and the search situation based on the current position of the user are acquired by the user information acquisition unit 207 as described above. Further, the search situation based on the user desired time zone estimated from the search query is acquired by the query evaluation unit 208 as described above.

  The content evaluation unit 209 derives the content evaluation value for each situation based on the content evaluation value for each time zone and the search situation based on the current time acquired by the user information acquisition unit 207. For example, if the current time acquired by the user information acquisition unit 207 is 23:00, the content evaluation value for each time zone in the time zone including 23:00 is set as the content evaluation value for each situation.

  Further, the content evaluation unit 209 derives the content evaluation value for each situation based on the content evaluation value for each time zone and the search situation based on the user desired time zone estimated by the query evaluation unit 208. Specifically, the value of the query evaluation value by time zone derived by the query evaluation unit 208 and the value of the content evaluation value by time zone of the time zone corresponding to each time zone of the query evaluation value by time zone are integrated. The total value obtained is set as the content evaluation value for each situation. Specific examples will be described later.

  Further, the content evaluation unit 209 derives the content evaluation value for each situation based on the content evaluation value for each location and the search situation based on the current position of the user acquired by the user information acquisition unit 207. For example, if the current position of the user acquired by the user information acquisition unit 207 is Yokohama City, the content evaluation value for each location including Yokohama City is set as the content evaluation value for each situation. Specific examples will be described later.

  The content evaluation unit 209 derives a final content evaluation value by integrating the above-described content-specific content evaluation value and content history evaluation value. Details will be described later.

  The search result determination unit 210 sorts the content search results based on the content evaluation values derived by the content evaluation unit 209 and determines the content search results output from the content search result output unit 211.

  The content result output unit 211 outputs the content search result determined by the search result determination unit 210 to the user terminal 100.

  Next, an example of content evaluation value derivation processing by the content evaluation unit 209 described above will be described with reference to FIGS.

  First, an example of processing for deriving a content evaluation value based on a user-desired time zone will be described with reference to FIGS. 6 and 7. FIG. 6 is a table showing query evaluation values by time period derived by the query evaluation unit 208. The query evaluation unit 208 searches the search log DB 500 for the search query “Yokohama Izakaya” for each time zone (“0 o'clock to 6 o'clock”, “6 o'clock to 12 o'clock”, “12 o'clock to 18 o'clock”, “18 o'clock to 24 o'clock”). ]), And the query evaluation value for each time period is derived by dividing the number of queries in each time period by the total number of queries in all time periods. For example, as shown in FIG. 6, since the number of queries at “0-6 o'clock” is 600, 0.52 obtained by dividing 600 by the total number of queries (1150) is “0-6 It becomes the query evaluation value for each time zone of “hour”.

  Also, a content evaluation value is derived by the content evaluation unit 209. FIG. 7 is a table showing the content from which the content evaluation value based on the time-based content evaluation value is derived by the content evaluation unit 209. As shown in FIG. 7, the contents corresponding to the search query “Yokohama Izakaya” are “Izakaya Lunch Yokohama Store” (hereinafter referred to as “content 1”) and “Secondary Izakaya Yokohama Store” (hereinafter referred to as “content 2”). Yes, content evaluation values are derived for each content.

  From the selection log DB 600, the content evaluation unit 209 determines each time zone ("0 o'clock-6 o'clock" "" 6 o'clock-12 o'clock "" "12 o'clock-18 o'clock" "" 18 o'clock-24 o'clock ") ), And the content evaluation value for each time period is derived by dividing the selection number for each time period by the total number of selections for all time periods. For example, since the number of selections of content 1 “0-6 o'clock” is 100, 0.04 obtained by dividing 100 by the total number of selections (2650) for all time periods is “0-6 o'clock” time. This is the content evaluation value for each band.

  Since the query evaluation value by time zone is derived as shown in FIG. 6 by the query evaluation unit 208, the value of the time zone query evaluation value and the time zone corresponding to each time zone of the time zone query evaluation value are shown. A total value obtained by integrating the value of the content evaluation value for each time zone is derived as the content evaluation value for each situation shown in FIG.

  Specifically, the content 1 is 0.52 × 0.04 (query evaluation value for each time zone at “0:00 to 6:00” × content evaluation value for each time zone) + 0.09 × 0.75 (“6 o'clock” -12:00 "query evaluation value by time zone x content evaluation value by time zone) + 0.17 x 0.02 (query evaluation value by time zone at" 12:00-18:00 "x content evaluation value by time zone) + 0 .22 × 0.19 (query evaluation value for each time zone of “18:00 to 24:00” × content evaluation value for each time zone) = 0.13 is derived as the content evaluation value for each situation.

  Similarly, the content 2 is 0.52 × 0.90 (query evaluation value for each time zone of “0:00 to 6:00” × content evaluation value for each time zone) + 0.09 × 0.01 (“6 to -12” Query evaluation value by time zone × content evaluation value by time zone) + 0.17 × 0.02 (query evaluation value by time zone at “12:00 to 18:00” × content evaluation value by time zone) +0.22 × 0.08 (“18:00 to 24:00” query evaluation value for each time zone × content evaluation value for each time zone) = 0.49 is derived as the content evaluation value for each situation.

  As shown in FIG. 7, since the content history evaluation value of content 1 is 0.3, the content evaluation value of content 1 is 0.13 × 0.3 (content evaluation value for each situation × content history evaluation value). = 0.039. Similarly, since the content history evaluation value of content 2 is 0.2, the content evaluation value of content 2 is derived as 0.49 × 0.2 (situation-based content evaluation value × content history evaluation value) = 0.098. Is done. From the above, the content evaluation value of content 2 is higher than that of content 1.

  Next, an example of processing for deriving a content evaluation value based on the current position of the user will be described with reference to FIG. FIG. 8 is a table showing the content from which the content evaluation value based on the location-specific content evaluation value is derived by the content evaluation unit 209. As shown in FIG. 8, there are “Izakaya Yokohama store” (hereinafter referred to as “content 3”) and “Izakaya Yokosuka point” (hereinafter referred to as “content 4”) as the contents corresponding to the inspection query “Izakaya coupon”. A content evaluation value is derived for the content.

  The content evaluation unit 209 acquires the number of selections at each location (“Yokohama City”, “Kawasaki City”, “Yokosuka City”) for the content 3 and the content 4 from the selection log DB 600, and the total number of selections for each location is the total for all locations. The content evaluation value for each location is derived by dividing by the number of selections. For example, since the number of selections of “Yokohama City” for content 3 is 1000, 0.57 obtained by dividing 1000 by the total number of selections for all locations (1750) is the content evaluation value for each location of “Yokohama City”.

  Then, the content evaluation unit 209 determines the value of the location-specific content evaluation value including the position of the user terminal 100 (the current position of the user) at the time when the user acquired by the user information acquisition unit 207 performs a search. Value. For example, when the current position of the user is “Yokohama City”, the content evaluation value by content for content 3 is 0.57, and the content evaluation value by content for content 4 is 0.29. Therefore, in this case, content 3 has a higher content evaluation value than content 4. Further, for example, when the current position of the user is “Yokosuka City”, the content evaluation value according to the situation of the content 3 is 0.14, and the content evaluation value according to the situation of the content 4 is 0.59. Therefore, in this case, content 4 has a higher content evaluation value than content 3.

(Recommend server)
Next, the recommendation server 300 will be described. FIG. 9 is a block diagram illustrating a functional configuration of the recommendation server 300. As illustrated in FIG. 9, the recommendation server 300 includes a recommendation acquisition target content acquisition unit 301, a related content calculation unit 302, and a related content transmission unit 303. The recommendation server 300 is configured by hardware such as a CPU, a RAM, and a ROM, and the CPU is configured to operate in accordance with a stored program. Specifically, it has the same configuration as that of the information distribution server 200 and is realized by the hardware configuration shown in FIG. Each configuration will be described below.

  The recommendation acquisition target content acquisition unit 301 acquires the recommendation acquisition target content from the information distribution server 200.

  The related content calculation unit 302 searches the content related to the recommendation acquisition target content acquired by the recommendation acquisition target content acquisition unit 301 from a content database (not shown), and determines the related content by calculation. For example, the related content calculation unit 302 sets a content having the same metadata as that of the recommendation acquisition target content as the related content.

  The related content transmission unit 303 transmits the related content determined by the result calculated by the related content calculation unit 302 and rank information of each related content to the information distribution server 200.

(Search server)
Next, the search server 400 will be described. FIG. 10 is a block diagram illustrating a functional configuration of the search server 400. As illustrated in FIG. 10, the search server 400 includes a query acquisition unit 401, a content calculation unit 402, and a query search result content transmission unit 403. The search server 400 is configured by hardware such as a CPU, RAM, and ROM, and the CPU is configured to operate according to a stored program. Specifically, it has the same configuration as that of the information distribution server 200 and is realized by the hardware configuration shown in FIG. Each configuration will be described below.

  The query acquisition unit 401 acquires a search query from the information distribution server 200.

  The content calculation unit 402 searches a content database (not shown) for content corresponding to the search query acquired by the query acquisition unit 401, and determines content to be transmitted. Specifically, the content calculation unit 402 determines content to be transmitted to the information distribution server 200 based on the result of calculation processing for each content searched from the content database. As a specific example of the calculation process, the content calculation unit 402 calculates the number of metadata corresponding to the search query and the like for the content corresponding to the search query.

  The query search result content transmission unit 403 transmits the content determined by the content calculation unit 402 and the ranking information of each content to the information distribution server 200.

(User terminal)
Next, the user terminal 100 will be described. FIG. 11 is a block diagram illustrating a functional configuration of the user terminal 100. As shown in FIG. 11, the user terminal 100 includes a browser 101, a recommendation request transmission unit 102, and a distribution information display unit 103. The user terminal 100 is configured by hardware such as a CPU, a RAM, and a ROM, and the CPU is configured to operate according to a stored program. Specifically, it has the same configuration as that of the information distribution server 200 and is realized by the hardware configuration shown in FIG. Each configuration will be described below.

  The browser 101 is an application part for connecting to the Internet, and accesses a site arranged on the Internet and allows a user to view content held on the site.

  The recommendation request transmission unit 102 is a part that transmits a request for recommendation information to the information distribution server 200 together with a search query and a user ID when a user operates an operation unit (not shown).

  The distribution information display unit 103 is a part that displays the menu screen and content (Web page) acquired by the browser 101.

  Next, operations of the user terminal 100, the information distribution server 200, the recommendation server 300, and the search server 400 will be described with reference to FIG. FIG. 12 is a sequence diagram illustrating processing of the user terminal 100, the information distribution server 200, the recommendation server 300, and the search server 400 when the search result is distributed in response to a request from the user terminal 100.

  As shown in FIG. 12, the recommendation request transmission unit 102 of the user terminal 100 transmits a user ID and a search query to the information distribution server 200 and requests a search result transmission (step S1).

  The search request receiving unit 203 of the information distribution server 200 acquires a user ID and a search query and also receives a search result transmission request, and the query search result acquiring unit 206 transmits the search query to the search server 400 (step) S2).

  The recommendation acquisition target content determination unit 204 determines the recommendation acquisition target content that is the content to be recommended acquisition based on the search query at the time of the search request and the content history information stored in the content history information storage unit 201. (Step S3).

  The related content acquisition unit 205 transmits the content ID of the recommendation acquisition target content to the recommendation server 300 (step S4). The related content calculation unit 302 of the recommendation server 300 calculates the related content of the recommendation acquisition target content (step S5), and the related content transmission unit 303 of the recommendation server 300 sends the calculation result of the related content to the information distribution server 200. Transmit (step S6).

  The content calculation unit 402 of the search server 400 calculates content corresponding to the search query (step S7), and the query search result content transmission unit 403 of the search server 400 transmits the result based on the calculation to the information distribution server 200 ( Step S8).

  The content evaluation unit 209 calculates the content evaluation value of the related content acquired by the related content acquisition unit 205 and the content (content search result) acquired by the query search result acquisition unit 206 (step S9). Then, the search result determination unit 210 sorts the content search results based on the content evaluation values, and determines the content search results to be output (step S10). Finally, the content search result output unit 211 outputs the sorted content search result to the user terminal 100 (step S11). The details of the content history evaluation value calculation process in the content evaluation value calculation in step S9 are shown in FIG. 13, the situation-specific content evaluation value calculation process in the content evaluation value calculation in step S9 and the processes in steps 10-11. Details will be described with reference to FIG.

Next, details of the content evaluation value calculation process will be described using the flowchart of FIG. This process corresponds to the content history evaluation value calculation process in the content evaluation value calculation in step S9 of the sequence diagram shown in FIG. First, the content evaluation unit 209 obtains a content history evaluation value V1 for each content in the content group C1 that is a set of content acquired by the query search result acquisition unit 206 (step S91). The content history evaluation value V1 calculated by the content evaluation unit 209 can be obtained by the following equation (2).
V1 = (M−α) × {(x + 1−rank ₁ ) / x} (3)

Here, x is the number of contents acquired by the query search result acquisition unit 206, and α is the priority between the content acquired by the related content acquisition unit 205 and the content acquired by the query search result acquisition unit 206. The index value is determined, M is the maximum value that α can take, and rank ₁ is the rank of each content in the content acquired by the query search result acquisition unit 206. Therefore, the content history evaluation value V1 is a value calculated based on the number of content items acquired by the query search result acquisition unit 206 and the rank of each content item in the content acquired by the query search result acquisition unit 206. If the rank of each content in the content acquired by the query search result acquisition unit 206 is higher, the higher the rank is, the higher the content history evaluation value V1 is. The content evaluation unit 209 calculates the content history evaluation value V1 by the above equation (3), but may calculate the content history evaluation value V1 by other various equations. For example, in the above formula (3), (x + 1−rank ₁ ) is divided by x, but x may be divided by rank ₁ .

  When there is no content included in the content group C2 that is a set of content acquired by the related content acquisition unit 205 among the content included in the content group C1 (step S92; NO), the content search result output unit 210 displays the content The contents of the rank according to the ranking of the history evaluation value V1 are output (step S93). When the content included in the content group C1 includes content included in the related content group C2 acquired by the related content acquisition unit 205 (step S92; YES), the content evaluation unit 209 displays the content of the content of the related content group C2. Among them, the content history evaluation value V2 of the content also included in the content group C1 is obtained (step S94). Among the contents of the related content group C2, contents not included in the content group C1 are excluded from evaluation. In addition, you may make it obtain | require content history evaluation value V2 of the content which is not contained in the content of the content group C1 among the content of the related content group C2.

The content history evaluation value V2 calculated by the content evaluation unit 209 can be obtained by the following equation (4).
V2 = α × {(x + 1−rank ₂ ) / x} (4)

Here, x is the number of cases acquired by the related content acquisition unit 205, and α is an index value that determines the priority between the content acquired by the related content acquisition unit 205 and the content acquired by the query search result acquisition unit 206 Rank ₂ is the rank of each content in the related content acquired by the related content acquisition unit 205. Therefore, the content history evaluation value V2 is a value calculated based on the number of contents acquired by the related content acquisition unit 205 and the rank of each content in the content acquired by the related content acquisition unit 205. If the ranking of each content in the content acquired by the related content acquisition unit 205 is higher, the higher the ranking is, the higher the content history evaluation value V2. The content evaluation unit 209 calculates the content history evaluation value V2 by the above formula (4), but may calculate the content history evaluation value V2 by other various formulas. For example, in the above formula (4), (x + 1−rank ₂ ) is divided by x, but x may be divided by rank ₂ .

Subsequently, the content evaluation unit 209 obtains a final content history evaluation value V3 from the content history evaluation values V1 and V2 (step S95). The final content history evaluation value V3 can be obtained by the following equation (5). Thus, the final content history evaluation is performed using the content history evaluation value V1 in the content acquired by the related content acquisition unit 205 and the content history evaluation value V2 in the content acquired by the query search result acquisition unit 206. By calculating the value, it is possible to calculate content history evaluation values from a plurality of viewpoints.
V3 = V1 + V2 (5)

  Next, details of the situation-specific content evaluation value calculation processing and the processing of steps 10 to 11 in the content evaluation value calculation in step S9 will be described using the flowchart of FIG. This process will be described using an example in which the content evaluation value for each situation is derived based on the content evaluation value for each time zone and the search situation based on the user desired time zone estimated by the query evaluation unit 208.

  First, the query evaluation unit 208 derives a time zone query evaluation value, which is an evaluation value of a time zone search query, based on the search query time zone search tendency (step S101). Further, the content evaluation unit 209 derives a time-based content evaluation value that is a selection tendency of each content for each predetermined time zone based on the number of selected content for each predetermined time zone (step S102).

  Subsequently, the query evaluation unit 208 includes the time zone query evaluation value derived by the query evaluation unit 208 and the time zone content evaluation value of the time zone corresponding to each time zone of the time zone query evaluation value. A total value obtained by integrating the values is derived as a situation-specific content evaluation value, and a final content evaluation value is derived by integrating the situation-specific content evaluation value and the content history evaluation value (step S103).

  Subsequently, the search result determination unit 210 sorts the content search results based on the content evaluation values derived by the content evaluation unit 209, and determines the content search results output by the content search result output unit 211 (step S104). ).

  Finally, the content result output unit 211 outputs the content search result determined by the search result determination unit 210 to the user terminal 100 (step S105).

  Next, the effect of the information delivery server 200 of this embodiment is demonstrated. According to the information distribution server 200 of the present embodiment, the content search result is determined based on the selection tendency of each content for each predetermined situation and the situation where the search is performed. Thereby, the content according to the situation where the search was performed can be provided to the user.

  Further, in the information distribution server 200 of the present embodiment, the query evaluation unit 208 or the user information acquisition unit 207 specifies the situation in which the search is performed by specifying the search time information that is information indicating the situation related to time, The content evaluation unit 209 derives a content evaluation value with a predetermined time zone as a predetermined situation, so that the content evaluation unit 209 is frequently selected in a time zone desired by the user (a time zone matching the situation in which the search is performed). Content can be provided.

  In the information distribution server 200 of the present embodiment, the query evaluation unit 208 derives a query evaluation value for each time zone based on the search tendency for each time zone of the search query and specifies the search time information so that the user can search. Search time information can be used as the search time information, which increases the content evaluation value of content that is frequently selected when the search query searched by the user is frequently searched be able to.

  Further, in the information distribution server 200 of the present embodiment, the user information acquisition unit 207 specifies the time at the time of search as the search time information, so that the content of the content that is frequently selected in the time zone including the time at the time of search The evaluation value can be increased.

  In the information distribution server 200 of the present embodiment, the user information acquisition unit 207 specifies the search location information by specifying the search location information, which is information indicating the status regarding the location, and the content evaluation unit 209 By deriving a content evaluation value with a predetermined place as a predetermined situation, it is possible to provide content that is frequently selected at a place desired by the user (a place that matches the situation in which the search is performed).

  Further, in the information distribution server 200 of the present embodiment, the user information acquisition unit 207 specifies the search location information by acquiring the location information of the user at the time of search, and thereby selects many at the location where the user is positioned at the time of search. The content evaluation value of the content that has been added can be increased.

  Further, in the information distribution server 200 of the present embodiment, the content evaluation unit 209 adds the content corresponding to the search query acquired by the query search result acquisition unit 206 and the user's content history information acquired by the related content acquisition unit 205. By deriving the content evaluation value based on the included content, it is possible to provide the content in consideration of the search situation and the user's preference.

  The preferred embodiments of the present invention have been described above. However, the present invention is not limited to the above-described embodiments. The present invention is modified without departing from the scope described in the claims or applied to others. It may be.

  For example, it has been described that the content evaluation value for each situation by the content evaluation unit 209 is derived by deriving either the content evaluation value for each time zone or the content evaluation value for each location. A value obtained by deriving and adding both the different content evaluation values may be used as the situation-specific content evaluation value.

  DESCRIPTION OF SYMBOLS 200 ... Information distribution server, 205 ... Related content acquisition part, 206 ... Query search result acquisition part, 207 ... User information acquisition part, 208 ... Query evaluation part, 209 ... Content evaluation part, 210 ... Search result determination part, 211 ... Content Search result output section.

Claims (8)

Search result acquisition means for acquiring a plurality of content search results for a search query;
A search status specifying means for specifying the status of the search,
The content evaluation value is determined based on the selection tendency of each content included in the content search result acquired by the search result acquisition means for each predetermined situation and the situation where the search specified by the search situation specifying means is performed. Derived content evaluation means,
Search result determination means for determining a content search result based on the content evaluation value derived by the content evaluation means;
Output means for outputting the content search result determined by the search result determination means;
A content search result providing apparatus comprising: The search status specifying means specifies the status where the search was performed by specifying search time information which is information indicating the status related to time,
The content search result providing apparatus according to claim 1, wherein the content evaluation unit derives a content evaluation value using a predetermined time zone as the predetermined situation.   The search status specifying means specifies the search time information by deriving a time zone query evaluation value that is an evaluation value of a search query by time zone based on a search tendency by time zone of the search query. 2. The content search result providing apparatus according to 2.   The content search result providing device according to claim 2 or 3, wherein the search status specifying means specifies a time at the time of search as search time information. The search status specifying means specifies the status where the search was performed by specifying search location information which is information indicating the status related to the location,
The content search result providing apparatus according to any one of claims 1 to 4, wherein the content evaluation unit derives a content evaluation value with a predetermined place as the predetermined situation.   The content search result providing apparatus according to claim 5, wherein the search situation specifying unit specifies the search location information by acquiring position information of a user at the time of search.   The content evaluation unit derives a content evaluation value based on the content corresponding to the search query acquired by the search result acquisition unit and the content included in the user's content history information. The content search result providing apparatus according to one item. A search result acquisition step for acquiring a plurality of content search results for the search query;
A search status identifying step that identifies the status of the search;
A content evaluation value is determined based on a selection tendency for each predetermined situation of each content included in the content search result acquired in the search result acquisition step and a situation where the search specified in the search status specifying step is performed. A content evaluation step to derive,
A search result determination step for determining a content search result based on the content evaluation value derived in the content evaluation step;
Outputting the content search result determined in the search result determination step;
Content search result providing method including

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